Temporal Di eren e Learning Applied to a High-Performan e Game ...

TD and MC updates are sample updates because they involve looking ahead to a sample successor state (or state?action pair), using the value ...







Supporting Continuous Consistency in Multiplayer Online Games
In this paper we introduce a new algorithm for updating the parameters of a heuris- tic evaluation function, by updating the heuristic towards the values ...
Mean field games via probability manifold I
UML se décompose en plusieurs sous-ensembles : ? Les vues : elles décrivent un système d'un point de vue donné, qui peut être organisationnel,.
Newton schemes for mean field games - Eventos @ CMM
Temporal difference (TD) learning is a foundational algo- rithm for predicting value functions in reinforcement learn- ing (RL) (Sutton, 1988). In practice, ...



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